Awesome Open Source
Search
Programming Languages
Languages
All Categories
Categories
About
Search results for 3d graphics deep neural networks
3d-graphics
x
deep-neural-networks
x
0 search results found
Flops Counter.pytorch
⭐
2,606
Flops counter for convolutional networks in pytorch framework
Medicaldetectiontoolkit
⭐
1,249
The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
3d Reconstruction With Deep Learning Methods
⭐
653
List of projects for 3d reconstruction
Cascaded Fcn
⭐
283
Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"
Synergynet
⭐
264
3DV 2021: Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry
Kiu Net Pytorch
⭐
245
Official Pytorch Code of KiU-Net for Image/3D Segmentation - MICCAI 2020 (Oral), IEEE TMI
3dmmasstn
⭐
194
MatConvNet implementation for incorporating a 3D Morphable Model (3DMM) into a Spatial Transformer Network (STN)
Awesome Gans And Deepfakes
⭐
171
A curated list of GAN & Deepfake papers and repositories.
Livianet
⭐
133
This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"
Flex Convolution
⭐
93
Source code for: Flex-Convolution (Million-Scale Point-Cloud Learning Beyond Grid-Worlds), accepted at ACCV 2018
Fully Convolutional Point Network
⭐
73
Fully-Convolutional Point Networks for Large-Scale Point Clouds
3d Semantic Segmentation
⭐
69
This work is based on our paper Exploring Spatial Context for 3D Semantic Segmentation of Point Clouds, which is appeared at the IEEE International Conference on Computer Vision (ICCV) 2017, 3DRMS Workshop.
Opencv Contrib Module Chinese Tutorials
⭐
67
OpenCV 扩展模块教程
Unet_3d
⭐
56
3D Unet Equipped with Advanced Deep Learning Methods
Uni Em
⭐
35
A unified environment for DNN-based automated segmentation of neuronal EM images
Brats2018 Tumor Segmentation
⭐
26
We provide DeepMedic and 3D UNet in pytorch for brain tumore segmentation. We also integrate location information with DeepMedic and 3D UNet by adding additional brain parcellation with original MR images.
Cfcnet
⭐
25
CFCNet for depth completion, NeurIPS 2019.
Dseg
⭐
14
Invariant Superpixel Features for Object Detection
T3d Keras
⭐
13
A Temporal 3D DNN for action recognition in videos
Scadc Depthcompletion
⭐
10
ICASSP 2021: Scene Completeness-Aware Lidar Depth Completion for Driving Scenario
Brain Tumor Segmentation And Survival Prediction Using Deep Neural Networks
⭐
7
Use of state of the art Convolutional neural network architectures including 3D UNet, 3D VNet and 2D UNets for Brain Tumor Segmentation and using segmented image features for Survival Prediction of patients through deep neural networks.
3dmmasstn Pytorch
⭐
6
Unofficial PyTorch implementation for incorporating a 3D Morphable Model (3DMM) into a Spatial Transformer Network (STN)
M3dv
⭐
6
Medical 3D Voxel Classifier using DNN
1-0 of 0 search results
Privacy
|
About
|
Terms
|
Follow Us On Twitter
Copyright 2018-2024 Awesome Open Source. All rights reserved.